Academic labs run differently from biotech. Smaller teams, longer time horizons, grant cycles instead of product cycles, and a rotation of students and postdocs who carry the lab’s know-how out the door when they leave. Labalyst is the lab software we wanted when we ran labs ourselves — and we built it with the PIs, lab managers, and researchers who use it every day. Here’s the friction we set out to remove, and the three pillars the platform rests on.
Every academic lab we talked to lost the same hours to the same friction — reagent hunts, version-confused protocols, results scattered across drives. None of it shows up in your grant report. All of it shows up in your week.
Vials expire in the back of a freezer. Stock runs out mid-experiment. Nobody knows who used the last of it.
Inventory in Excel. Protocols on the shared drive. Orders in email. Notes in a paper notebook. Good luck searching.
When a researcher leaves, their protocols, troubleshooting notes, and tacit know-how leave with them.
No structured record of what didn’t work — so the next researcher tries the same failed approach six months later.
Audit week means digging through binders, drives, and DMs to reconstruct who did what, when.
Three pillars cover everything your lab does. The AI copilot runs through all of them — so every action is faster, cleaner, and easier to find later.
Camera-based scanning. Storage mapping down to the shelf. Automated low-stock alerts. Know exactly what you have, where it is, and when it expires.
Project design, execution, and analysis — with structured experiment history that survives team turnover and audit week.
Structured collaboration with real-time visibility across your lab — and a clean audit trail for compliance, grants, and publications.